land cover classification is one of the most important applications of polarimetric radar images, especially in urban areas. there are numerous features that can be extracted from these images for the use of their high potential, hence feature selection plays an important role in polsar image classification. in this study, three main steps are used to improve the classification: 1) feature extr...

High resolution RADAR images of contiguous targets like vehicles on road often suffer from side lobe enhancement. This leads to false alarm in target detection and degradation in image quality. In this paper, adaptive CLEAN algorithms are introduced to eliminate side lobe enhancement and significantly improve the target detection with better image quality. The effectiveness of the CLEAN algorit...

We discuss range and Doppler processing for FMCW radar using only a single pulse or frequency sweep. The first step is correlation processing, for which the range and Doppler resolution are limited by the ambiguity function. We show that this resolution can be optimized with an additional inverse filtering step. The method is demonstrated for sinusoidal FMCW radar measurements. Several regulari...